Software Engineer, Cloud Engineer - Software, Backend Developer

Challenge Yourself and Impact the Future!

Element Solutions Inc (NYSE:

ESI) is a leading specialty chemicals company whose operating businesses formulate a broad range of solutions that enhance the performance of products people use every day. Developed in multi-step technological processes, our innovative solutions enable our customer manufacturing processes in several key segments, including electronic circuitry, communication infrastructure, automotive systems, industrial surface finishing, and offshore energy.

Customers of our businesses use our innovation as a competitive advantage, relying on us to help them navigate in fast-paced, high-growth markets. For example, in-care technology, from infotainment to driver assistance, is accelerating the paste of new product development and automotive markets, and with a deep market expertise in electronics, we sit at the intersection of the fast-growing market, changing the competitive playing field for automotive manufacturers, with a long-standing presence.

We strive to embody the five 'Elements of our Culture'-our '5C's';
Challenge, Commit, Collaborate, Choose, and Care. These core values are the foundation of our organization which our employees embrace in their interactions with customers, colleagues and other stakeholders, to drive financial performance and create a rewarding work environment.

We're looking for a Data and AI Platform & Infrastructure software engineer to help build bespoke applications and backend services that support our Data and AI systems in production. You'll work as a member of the AI Enablement Team to design, build, and deploy cloud-based applications that make our AI systems accessible, reliable, and scalable.

• Build and operate backend services, APIs, and web applications that enable AI in production.
• Partner with AI/ML engineers to take models from prototype to scalable, secure production workflows.
• Own features end-to-end — from rapid prototyping to production deployment across frontend, backend, and cloud infrastructure.
• Automate delivery with CI/CD pipelines and continuously improve performance, reliability, and observability in cloud environments.

• Strong proficiency in Python for building and maintaining scalable backend services, APIs, automation, and data processing workloads, with advanced SQL expertise in relational modeling, complex queries, performance optimization, and transactional integrity.
• Hands‑on experience maintaining production codebases across both frontend and backend, and rapidly integrating prototype UIs into secure, scalable backend and infrastructure components to accelerate prototype‑to‑product delivery.
• Experience with modern frontend frameworks (React, Vue, or Angular) and integrating frontend applications with backend APIs, authentication/authorization, and environment‑specific configuration.
• Proven experience designing, deploying, and operating applications on cloud platforms — Azure preferred, with AWS or GCP acceptable — including application hosting, serverless compute, container orchestration, and relational/object storage.
• Strong understanding of secure cloud architecture patterns, including networking, secrets management (e.g., Azure Key Vault or equivalents), identity and access management, and least‑privilege access controls.
• Hands‑on experience with Infrastructure as Code (IaC) (e.g., Terraform or native cloud templates), containerization (Docker), and cloud‑native monitoring and observability.
• Strong experience with Git‑based version control, collaborative branching strategies, and building and maintaining CI/CD pipelines (e.g., Azure Dev Ops Pipelines, Git Hub Actions), including automated testing, artifact management, and controlled deployment promotion.

• Hands‑on experience with No
  
  SQL databases, particularly Azure Cosmos DB (Core SQL API, Mongo
  
  DB API, or Table API)
• Experience designing data access patterns for high‑scale, low‑latency distributed applications.
• Experience building embedding‑based semantic search using vector databases, with understanding of vector indexing, similarity search, and…